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@@ -174,10 +174,15 @@ class WeaviateVector(BaseVector):
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schema = self._default_schema(self._collection_name)
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if self._client.schema.contains(schema):
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for uuid in ids:
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- self._client.data_object.delete(
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- class_name=self._collection_name,
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- uuid=uuid,
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- )
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+ try:
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+ self._client.data_object.delete(
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+ class_name=self._collection_name,
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+ uuid=uuid,
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+ )
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+ except weaviate.UnexpectedStatusCodeException as e:
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+ # tolerate not found error
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+ if e.status_code != 404:
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+ raise e
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def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
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"""Look up similar documents by embedding vector in Weaviate."""
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